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Integrated Computational Multi-Scale Modeling for Efficient Composite Material

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Integrated Computational Multi-Scale Modeling for Efficient Composite Material and Process Design

 

Innovative digital modeling and optimization technologies have the potential to vastly improve the engineering of new composite materials and processes, given the inefficient and lengthy testing cycles of today’s state-of-practice. Many approaches have been demonstrated in literature at varying degrees of success for process modeling, micro-mechanics, and structural failure analysis. However, the integrated operation of the various models and tools has proven elusive.In this paper, we present an integration approach and tool-set that automates the data representation and exchange of data between multi-scale composite models, thereby enabling integrated digital optimization for new composite materials and/or their manufacturing processes. We discuss the challenges and approaches in identifying the data to be exchanged and bridging the individual models and different simulation software tools. We present the results validating our approach and tool-set using three different multi-scale models. We compare our results with traditional lab tests and conclude with a discussion of current limitations and future improvements.

 

Authors: Srini Srinivasan, Jeanne M. Riga, Robert W. Koon, and Tsukasa Harrington

 

Conference: SAMPE Seattle 2017

 

SKU/Code: SE17--0549

Pages: 15



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